Artificial intelligence in disease diagnosis: Application withinfeature and state spaces

Conclusions: Findings indicate that the accuracy and efficiency of classification processes can be substantially enhanced by adopting dynamic classification principles. Moreover, the overall effectiveness of AI deployment in healthcare partially depends on the extent of generalization and the specific structural organization of medical information. A critical and practical element at the pre-implementation stage of AI integration is the development of a domain-specific ontology.

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Publication Details

Journal
Wiadomości Lekarskie
Published
2025-07-30
DOI
https://doi.org/10.36740/wlek/208997
Primary Topic
Genetics, Bioinformatics, and Biomedical Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial intelligence in disease diagnosis: Application withinfeature and state spaces

О. П. Мінцер, L. Yu. Babintseva, О. О. Суханова, С. І. Мохначов
Wiadomości Lekarskie
Genetics, Bioinformatics, and Biomedical Research
article

Artificial intelligence in disease diagnosis: Application withinfeature and state spaces

О. П. Мінцер, L. Yu. Babintseva, О. О. Суханова, С. І. Мохначов
article en

Abstract

Conclusions: Findings indicate that the accuracy and efficiency of classification processes can be substantially enhanced by adopting dynamic classification principles. Moreover, the overall effectiveness of AI deployment in healthcare partially depends on the extent of generalization and the specific structural organization of medical information. A critical and practical element at the pre-implementation stage of AI integration is the development of a domain-specific ontology.

Wiadomości LekarskieVol. 78(7)
Shupyk National Healthcare University of Ukraine (UA)
Openalex Percentile: Top 80%
Genetics, Bioinformatics, and Biomedical Research
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